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Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (14th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.7%, up 9.1% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 3.2% mindshare, down 5.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.7%
Snowflake15.1%
Teradata8.8%
Other66.4%
Cloud Data Warehouse
Business Performance Management Mindshare Distribution
ProductMindshare (%)
Jedox3.2%
Anaplan6.5%
Adaptive Insights4.9%
Other85.4%
Business Performance Management
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Riyaz Halani - PeerSpot reviewer
Financial Controller at Zalando SE
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The initial setup is pretty easy."
"The capability of the product is quite good and we are very satisfied with it overall."
"Databricks' most valuable features are the workspace and notebooks, and its integration, interface, and documentation are also good."
"In the current capacity as an Architect and the end user of Databricks I would say I do have confidence that Databricks can provide a wealth of functionalities to start with."
"I like the simplicity and ease of use."
"Our company makes comprehensive use of the solution to consolidate data and do a certain amount of reporting and analytics."
"We chose Databricks because the processing power was better and it was a better fit for our use case."
"Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"The data entry point is most valuable, and the way we can customize our report or do data entry is very good."
"The solution is very versatile."
"We can configure and have complete freedom while creating solutions."
"With Jedox, those kinds of pain points have been removed, and now if I create my dashboard once, people just need to add the data or pull the data, or the data just comes in on a scheduled basis from various systems, and my dashboards are ready."
"The ease of reporting is one of Jedox's most valuable features."
"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."
"We use the tool for performance management and planning."
 

Cons

"Implementation of Databricks is still very code heavy."
"So far, we're not measuring any return on investment, such as saving time, money, or resources with Databricks."
"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."
"It would be better if it were faster. It can be slow, and it can be super fast for big data."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Data governance should be addressed. We have some trouble connecting all the governance solutions with Databricks, which means the integrative capabilities are problematic."
"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."
"Visualization is something they need to improve. There should be some dropdown facilities in it like Excel."
"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."
"It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming."
"I don't find it particularly user-friendly."
"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."
"There is not much training for Jedox."
"I think it's the design of the report because the design and the UI for the report is standard and lame. When you see a Jedox report, it doesn't seem like it's from today, because the technology is something from the last decade. The scalability needs improvement."
"Being an analytical solution, it should have more visualization options like graphs. When we are putting it, it should have more options. The UI can be made more modernized based on today's market. Sometimes, when we are doing heavy reports or dashboarding, there is a bit of a performance issue because it is pulling up a huge amount of data. That can be improvised by buffer memory and getting some buffer memory feature into it. It is a bit complex because it is a CPM solution. It helps you to get the information based on the different tools that we are using, which is a bit of a complex thing. It is not as easy as Microsoft Power BI. It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming. It took about eight months to do the complete implementation. We got some training from the partner and the Jedox team, which helped us later on in pulling things forward, but too much learning is required, and too many possibilities are there."
 

Pricing and Cost Advice

"We only pay for the Azure compute behind the solution."
"The solution is a good value for batch processing and huge workloads."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"Databricks' cost could be improved."
"I rate the price of Databricks as eight out of ten."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"The billing of Databricks can be difficult and should improve."
"The product’s pricing will not be suitable for setting up a small solution."
"Jedox was a bit cheaper compared to Calumo."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
"Excellent value for money."
"The solution's pricing is specific to your requirements."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
6%
Comms Service Provider
12%
Computer Software Company
9%
Aerospace/Defense Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise4
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: May 2026.
896,803 professionals have used our research since 2012.